Activity tracking and monitoring of patients with alzheimer’s disease

Kam Yiu Lam, Nelson Wai Hung Tsang, Song Han, Wenlong Zhang, Joseph Kee Yin Ng, Ajit Nath

    Research output: Contribution to journalArticle

    9 Citations (Scopus)

    Abstract

    In this paper, by applying motion detection and machine learning technologies, we have designed and developed an activity tracking and monitoring system, called SmartMind, to help Alzheimer’s Disease (AD) patients to live independently within their living rooms while providing emergency assistances and supports when necessary. Allowing AD patients to handle their daily activities not only can release the burdens on their families and caregivers, it is also highly important to help them regain confidence towards a healthy life. The daily activities of a patient captured from SmartMind can also serve as an important indicator to describe his/her normal living habit (NLH). By checking NLH, the patient’s current health status can be estimated on a daily basis. In the testing experiments of SmartMind, we have demonstrated the accuracy of SmartMind in activity detection and investigated its performance when different machine learning algorithms were adopted for posture detection. The performance results indicate that both support vector machine (SVM) and naive bayes (NB) can achieve an accuracy of higher than 97 % while the random forrests (RF) only gives an accuracy of around 73 %.

    Original languageEnglish (US)
    JournalMultimedia Tools and Applications
    DOIs
    StateAccepted/In press - Nov 13 2015

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    Learning systems
    Regain
    Monitoring
    Learning algorithms
    Support vector machines
    Health
    Testing
    Experiments

    Keywords

    • Dementia
    • Health informatics Context-aware computing
    • Motion detection
    • Pervasive computing

    ASJC Scopus subject areas

    • Media Technology
    • Hardware and Architecture
    • Computer Networks and Communications
    • Software

    Cite this

    Activity tracking and monitoring of patients with alzheimer’s disease. / Lam, Kam Yiu; Tsang, Nelson Wai Hung; Han, Song; Zhang, Wenlong; Ng, Joseph Kee Yin; Nath, Ajit.

    In: Multimedia Tools and Applications, 13.11.2015.

    Research output: Contribution to journalArticle

    Lam, Kam Yiu ; Tsang, Nelson Wai Hung ; Han, Song ; Zhang, Wenlong ; Ng, Joseph Kee Yin ; Nath, Ajit. / Activity tracking and monitoring of patients with alzheimer’s disease. In: Multimedia Tools and Applications. 2015.
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